Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7760#discussion_r35893047
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala ---
@@ -297,6 +294,33 @@ class LocalLDAModel private[clustering] (
score
}
+ /**
+ * Predicts the topic mixture distribution ("gamma") for a document.
Returns a vector of zeros for
+ * an empty document.
+ * @param documents documents to predict topic mixture distributions for
+ * @return topic mixture distributions for each document
+ */
+ // TODO: declare in LDAModel and override once implemented in
DistributedLDAModel
+ def topicDistributions(documents: RDD[(Long, Vector)]): RDD[(Long,
Vector)] = {
+ // Double transpose because dirichletExpectation normalizes by row and
we need to normalize
+ // by topic (columns of lambda)
+ val expElogbeta =
exp(LDAUtils.dirichletExpectation(topicsMatrix.toBreeze.toDenseMatrix.t).t)
+ val topicConcentrationBrz = this.docConcentration.toBreeze
--- End diff --
OK
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